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Estimation of gradients and coordinate covariation in classification
Published on Feb 4, 20254414 Views
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is to find salient vari
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Presentation
Estimation of Gradients00:01
Motivation01:52
Global shrinkage estimators04:08
Reproducing Kernel Hilbert Spaces05:33
Classication07:36
Learning the gradient09:19
Formulating the algorithm10:16
Elements for algorithm11:19
Gradient algorithms14:23
Remark14:39
Representer theorems15:57
Reducing the matrix size16:56
Convergence to the gradient18:36
Quantities of interest20:29
Linear example21:10
Nonlinear example23:03
Gene expression data24:00
Decay of norms25:13
Restriction to a manifold26:42
Dimensionality reduction29:48
Discussion33:15